PRACTICAL APPLICATION OF ARTIFICIAL NEURAL NETWORK IN MANAGEMENT

Journal Title: International scientific journal Science and Innovation - Year 2023, Vol 2, Issue 12

Abstract

The work discusses the practical application of an artificial neural network for solving complex, non-formalizable problems, such as pattern recognition, image processing, information processing, etc., as well as for controlling complex nonlinear dynamic objects. Artificial neural networks are based on the features of living neural networks, which allow them to solve various problems and are able to indicate the confidence level of each solution in a specific and logical way. In neural networks, all mathematical operations are carried out by a training program called a learning cycle

Authors and Affiliations

Kadirova Sh. A. , Matyakubova P. M. , G. G. Boboev, Makhmudzhonov M. M.

Keywords

Related Articles

UKHUMSOY NEW ROCK PAINTINGS SCIENTIFIC RESEARCH

This article describes the geographical location, nature, climate and animal world of Ukhumsoy. In addition, the drawing styles and processing techniques of Ukhumsoy's new rock paintings were also discussed. The degrees...

THE MAIN DIRECTIONS OF DEVELOPING THE LOGICAL THINKING OF FUTURE ELEMENTARY SCHOOL TEACHERS (IN MATHEMATICS LESSONS)

This article discusses the main methodology of developing the logical thinking of future primary school teachers. This process is considered as an example of mathematics lessons.

COTTON FIBER MATURITY AND TECHNOLOGICAL INDICATIONS OF ELITE COTTON SEEDS GROWN UNDER DIFFERENT CONDITIONS

The article presents data on the yield and genetic variability of cotton varieties grown using elite seeds under film and film drip irrigation technology

THE MOST COMMON LANGUAGE LEARNING BARRIERS MANY STUDENTS FACE DUE TO INSUFFICIENT AMOUNT OF VOCABULARY AND SUGGESTED WAYS AND TIPS ON SOLVING THE VOCABULARY PROBLEMS BASED ON CONDUCTED SURVEYS AMONG THE LEARNERS

The given article describes common problems connected with vocabulary enrichment and acquisition among language learners and puts forward a few ways and methods of effective learning.

EVALUATION OF QUALITY INDICATORS OF OPTICAL COHERENCE TOMOGRAPHY IN PATIENTS WITH ARTERIAL HYPERTENSION

When analyzing the qualitative indicators of OCT, in most cases focal changes were identified that corresponded to those previously detected during ophthalmoscopy. Hyperreflective foci in the outer layers of the retina a...

Download PDF file
  • EP ID EP725801
  • DOI 10.5281/zenodo.10396077
  • Views 16
  • Downloads 0

How To Cite

Kadirova Sh. A. , Matyakubova P. M. , G. G. Boboev, Makhmudzhonov M. M. (2023). PRACTICAL APPLICATION OF ARTIFICIAL NEURAL NETWORK IN MANAGEMENT. International scientific journal Science and Innovation, 2(12), -. https://europub.co.uk/articles/-A-725801